Skip to content
DraconiticResearch
Search Sources API
197,785 studies31 sourcesUpdated just now
PreprintarXiv licencearXiv

Astrobiology and the Transformation of Scientific Epistemology

Abstract

Astrobiology occupies an unusual position within the philosophy of science. Confronted with the n = 1 problem - having only a single example of life to study - it attempts to investigate life beyond Earth while relying entirely on Earth's biosphere as its reference point, a constraint that creates unique epistemic challenges. Unlike traditional sciences with clear predictive frameworks, astrobiology operates as what we might call a transient science: a discipline functioning without foundational certainties, relying predominantly on abductive reasoning, and confronting hypotheses that may remain untestable for decades. It is, in essence, a science of absence - of evidence, certainty, and analogy - where progress lies in refining conceptual and experimental tools to recognize unfamiliar forms of life. This positions astrobiology alongside emerging fields like artificial intelligence and cognitive science within a broader transformation of how scientific knowledge is constructed when dealing with phenomena that transcend direct empirical access.

Related

  1. Prospects for Astrobiology and Technosignature Searches with the Vera C. Rubin Observatory Legacy Survey of Space and Time
    Andjelka B Kovacevic, Nigel J. Mason, Aleksandra Ciprijanovic +4
    arXivPreprintCC BY 4.0Full textInstrumentation & methodsPlanetary science & exoplanetsarXiv
  2. AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology I: Literature Review
    Anamaria Hell, Kateryna Vovk, Veena Krishnaraj +18
    HALPreprintLicence not statedGeneral astronomyApplied physics & instrumentationHAL
  3. AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology II: Project Planning and Proposal Evaluation
    Jia Liu, Veena Krishnaraj, Kateryna Vovk +18
    HALPreprintLicence not statedGeneral astronomyApplied physics & instrumentationHAL
  4. Beyond χ2: Ensemble null tests for reliable scientific discovery
    Adrian E. Bayer, David N. Spergel
    arXivPreprintarXiv licenceFull textCosmologyInstrumentation & methodsarXiv
  5. Dark Matter Particle Explorer: Ten-Year On-Orbit Performance and Scientific Outcomes
    Jian-Hua Guo, Chuan Yue, Yun-Long Zhang +2
    arXivPreprintCC0Full textHigh-energy astrophysicsInstrumentation & methodsarXiv
BibTeX
@misc{sekrst2026astrobiology,
  title = {{Astrobiology and the Transformation of Scientific Epistemology}},
  author = {Kristina Šekrst},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2608.17728},
  eprint = {2608.17728},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.17728},
}
RIS
TY  - UNPB
TI  - Astrobiology and the Transformation of Scientific Epistemology
AU  - Kristina Šekrst
PY  - 2026
DA  - 2026/09/21
PB  - arXiv
DO  - 10.48550/arxiv.2608.17728
UR  - https://arxiv.org/abs/2608.17728
AB  - Astrobiology occupies an unusual position within the philosophy of science. Confronted with the n = 1 problem - having only a single example of life to study - it attempts to investigate life beyond Earth while relying entirely on Earth's biosphere as its reference point, a constraint that creates unique epistemic challenges. Unlike traditional sciences with clear predictive frameworks, astrobiology operates as what we might call a transient science: a discipline functioning without foundational certainties, relying predominantly on abductive reasoning, and confronting hypotheses that may remain untestable for decades. It is, in essence, a science of absence - of evidence, certainty, and analogy - where progress lies in refining conceptual and experimental tools to recognize unfamiliar forms of life. This positions astrobiology alongside emerging fields like artificial intelligence and cognitive science within a broader transformation of how scientific knowledge is constructed when dealing with phenomena that transcend direct empirical access.
ER  -